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All Journal Journal of Community Services: Sustainability and Empowerment Jurnal Polimesin ASEAN Journal for Science and Engineering in Materials
Fernandez, Nikolas Krisma Hadi
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Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Control & Systems Engineering Economics, Econometrics & Finance Education Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Academic Motivations in Junior High School Refreshing Day Djajasoepena, Rafie; Setiawan, Iwan; Triawan, Farid; Redi, Anak Agung Ngurah Perwira; Fernandez, Nikolas Krisma Hadi; Prasetyo, Ilham; Alibasa, Muhammad Johan; Wandy, Wandy
Journal of Community Services: Sustainability and Empowerment Vol. 4 No. 01 (2024): March 2024
Publisher : Center for Research and Community Service of Sampoerna University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35806/jcsse.v4i1.448

Abstract

Motivation is a crucial factor in education as it stimulates, guides, and channels purposeful behavior driven by biological, emotional, social, and cognitive factors. Motivation can be a key element of a student’s achievement. This study explores the role of motivation in academic achievement and describes a community service program undertaken at SMP Negeri 174 Jakarta.. This initiative aims to motivate students before their final exams by sharing success stories of effective study habits and providing tips for exam preparation. The community service activities commenced in late March 2024 and concluded in May 2024. Over 200 participants, consisting of year-9 students, took part in the event, which began in the morning and lasted for two hours, ending before noon. The majority of the resource persons and the organizers were actively involved in the event preparations. The success of this initiative suggests the potential of similar programs to motivate students in the future.
Fabrication of Synthetic Lumbar Vertebrae by a Combination of FDM 3D-Printing and PU Foam Casting from Two Injection Techniques for Surgical Training Triawan, Farid; Khoiriyah, Nisa; Asriyanti, A.; Utomo, Muhammad Satrio; Saptaji, Kushendarsyah; Fernandez, Nikolas Krisma Hadi; Muflikhun, Muhammad Akhsin
ASEAN Journal for Science and Engineering in Materials Vol 5, No 1 (2026): (ONLINE FIRST) AJSEM: Volume 5, Issue 1, March 2026
Publisher : Bumi Publikasi Nusantara

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Abstract

This study aims to introduce a rapid and precise fabrication technique of lumbar vertebrae model that mimics the cortical and cancellous parts of the bone using polylactic acid (PLA) and polyurethane (PU) foam, respectively. An FDM 3D-printing using PLA filament was utilized to fabricate the cortical part, then PU foam was molded into the printed cortical to form the cancellous part. The fabricated model was examined by comparing its dimensions with the stereolithography (STL) model. Sequentially, density measurement, compressive test, and microstructure observation were performed to evaluate the specimen characteristics. The results showed that the dimensions of the vertebrae model agreed well with the STL model, with a discrepancy of less than 4%. The fabricated PU samples exhibited a density in the range of 476–557 kg/m³, elastic moduli of 3.99–7.17 MPa, and a pore size of 136.66–179.80 µm, which are lower than the properties of human bone. Despite that, the PU samples maintain their compressive strength of 0.329–0.589 MPa, which is within the range of cancellous human bone.
Machine fault detection through sound analysis using MFCC and machine learning Chang, Steven Henderson; Purnomo, Ariana Tulus; Bhakti, Muhammad Agni Catur; Mulia, Vania Katherine; Rizky, Agyl Fajar; Fernandez, Nikolas Krisma Hadi; Triawan, Farid
Jurnal Polimesin Vol 23, No 3 (2025): June
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i3.6653

Abstract

This study addresses the need for automated damage and failure detection in industrial machinery through sound analysis and machine learning. Traditional methods rely on human experts to identify faults using microphones, which can be time-consuming, stressful, and prone to errors such as limited perception, subjectivity, and inconsistency. This study leverages machine learning to create a more objective and efficient alternative. Mel-Frequency Cepstral Coefficients (MFCCs) were employed for feature extraction, capturing intricate sound patterns associated with machinery faults. Through rigorous experimentation, 11 MFCC coefficients were identified as optimal. The Support Vector Machine (SVM) emerged as the best-performing classifier compared to LightGBM and XGBoost, achieving a training accuracy of 83.12% and testing accuracy of 82.50%. The dataset was split between 80% for training and 20% for testing. The small gap between training and testing accuracy indicates an ideal model with no signs of over fitting, under fitting, or data leakage. Real-world simulations validated the model’s efficacy under various operational scenarios, demonstrating its readiness for industrial deployment. This study highlights the effectiveness of sound analysis and SVM classification in proactive maintenance, offering a reliable tool to reduce downtime and maintenance costs while enhancing operational efficiency and reliability.
A quad-cliff mechanism for eco-printing by pounding technique: design, manufacturing, and testing Triawan, Farid; Dyota, Arya Smara; Kamila, Fatima Tasya; Saptaji, Kushendarsyah; Fernandez, Nikolas Krisma Hadi; Silitonga, Arridina Susan; Sebayang, Abdi Hanra
Jurnal Polimesin Vol 22, No 5 (2024): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v22i5.5738

Abstract

Indonesia produces many types of textile products, such as clothing and custom fabrics often with unique patterns. To generate the patterns, there are many methods, including eco-printing by pounding process. However, the process, which was later referred to as eco-pounding, requires much time and energy, which can have a negative impact, such as musculoskeletal disorders, on the human body. To address this issue, the present work proposes a machine that can help the process of eco-pounding. Shigley’s method is applied to guide the design process of the machine. The design and manufacturing processes of the eco-pounding machine are presented, in which three machine design models are first introduced and then analyzed for finalization by benchmarking method. Subsequently, a machine model that uses a so-called quad-cliff mechanism is selected for manufacturing and testing. As a result, the proposed machine can achieve the design requirements that were set. Three pounding movements per second can be obtained by the machine, with possible increases by an engine upgrade. This machine can be considered a prototype for a semi-automatic eco-printing process by pounding technique.
Co-Authors Abdi Hanra Sebayang Anak Agung Ngurah Perwira Redi Ariana Tulus Purnomo Arridina Susan Silitonga - Asriyanti, A. Chang, Steven Henderson Dyota, Arya Smara Ilham Prasetyo Iwan Setiawan Kamila, Fatima Tasya Khoiriyah, Nisa Kushendarsyah Saptaji Muhammad Agni Catur Bhakti Muhammad Akhsin Muflikhun Muhammad Johan Alibasa Mulia, Vania Katherine Rafie Djajasoepena Rizky, Agyl Fajar Triawan, Farid Utomo, Muhammad Satrio Wandy Wandy